Interval Entropy and Informative Distance
AbstractThe Shannon interval entropy function as a useful dynamic measure of uncertainty for two sided truncated random variables has been proposed in the literature of reliability. In this paper, we show that interval entropy can uniquely determine the distribution function. Furthermore, we propose a measure of discrepancy between two lifetime distributions at the interval of time in base of Kullback-Leibler discrimination information. We study various properties of this measure, including its connection with residual and past measures of discrepancy and interval entropy, and we obtain its upper and lower bounds. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Misagh, F.; Yari, G. Interval Entropy and Informative Distance. Entropy 2012, 14, 480-490.
Misagh F, Yari G. Interval Entropy and Informative Distance. Entropy. 2012; 14(3):480-490.Chicago/Turabian Style
Misagh, Fakhroddin; Yari, Gholamhossein. 2012. "Interval Entropy and Informative Distance." Entropy 14, no. 3: 480-490.